ResponsibilitiesYou will operate in a similar capacity to Spock in the USS Enterprise .You will be directly partnered with 1 or more business units / products and will enable / advise them with data and your data science capabilities to drive success.Your day to day will consist of:~ Data Modeling (Kimball/Ross)~ Machine Learning~ Generative AI~ Experimentation~ Dashboard Building (streamlit)~ Data Deep Dives~ Metrics~ Data Pipelines~ Opportunity SizingMore directly - it will consist of doing whatever possible to maximize the likelihood and magnitude of the success of the unit / team that you are partnered with.Why Does This Role MatterAt Stan we firmly believe that data is crucial to make the best decisions and drive the company ahead to achieve optimal success - this trickles down to every product and org within Stan.Being Data-Driven is one of our core values:You will be responsible for being a living / breathing representation of this value for the org/product(s) youre partnered with.To bring a data science perspective to measure / validate / and drive success.And then leverage your capabilities to build out the systems to make that happen.Heres some examples: Propose and build metrics to evaluate the success of our Ambassador ProgramDiving into Activation metric for our Community feature to uncover insights to improve itLevelling up our Creator AI Assistant (stanley) to increase the / rateJob requirementsExperience: 3+ YearsTools: Python, SQL, streamlit (bonus)Soft Skills: excellent communicator (written and verbal), stakeholder management, storytelling (bonus) ****Hard Skills: first principles thinking / problem solving (ex: proving a math theorem), product analytics, experimentation, data modelling (kimball / ross), data deep dives (understanding the why and how it affects the business), ML, generative AI, opportunity sizing, Dashboard Building, creation / management of data pipelinesAt Stan, You'll EnjoyAutonomy and Ownership: you are in charge of your time at Stan - you will be responsible for balancing the needs of the teams your partnered with, the needs of the company, and your own net new initiatives to maximize your impact.Top-of-the-Market Cash & Equity Compensation: because our team is only comprised of the best-of-the-best, we pay the very top of market.A World-Class Team: because were only committed to hiring the very best, youll get the opportunity to work alongside and learn from a team of exceptionally skilled, kind, and effective individuals.
Job Title
Data Scientist - Data Science - F/H